Willsey, M.S., Shah, N.P., Avansino, D.T. et al. A high-performance brain–computer interface for finger decoding and quadcopter game control in an individual with paralysis. Nat Med. 2025.
Media coverage: The Detroit News, WJR-AM with Marie Osborne, Michigan News, Nature News, New Scientist, SER, DroneXL, News Medical, singularityhub, BBC Radio 5 live (Jan. 20, 2025, Futurism, Discover Magazine, Popular Science, Gizmodo, Independent
Nick Ramsey and Mariska J. Vansteensel present a thoughtful analysis of ours and related BCI work in their article entitled: "The expanding repertoire of brain–computer interfaces"
Costello JT, Temmar H, Cubillos LH, Mender MJ, Wallace DM, Willsey MS, et al. Balancing Memorization and Generalization in RNNs for High Performance Brain-Machine Interfaces. bioRxiv. 2023:2023.05. 28.542435. (NeurIPS, Spotlight Paper. 2023)
Willsey MS, Nason SR, Ensel SR, Temmar H, Mender MJ, Costello JT, et al. Real-time brain-machine interface achieves high-velocity prosthetic finger movements using a biologically-inspired neural network decoder. Nature Communications. 2022;13(6889).
Nason SR, Mender MJ, Vaskov AK, Willsey MS, Kumar NG, Kung TA, et al. Real-time linear prediction of simultaneous and independent movements of two finger groups using an intracortical brain-machine interface. Neuron. 2021;109(19):3164-77. e8.
Nason SR, Vaskov AK, Willsey MS, Welle EJ, An H, Vu PP, et al. A low-power band of neuronal spiking activity dominated by local single units improves the performance of brain–machine interfaces. Nature biomedical engineering. 2020;4(10):973-83.
Willsey MS, Lu CW, Nason SR, Malaga KA, Lempka SF, Chestek CA, et al. Distinct perceptive pathways selected with tonic and bursting patterns of thalamic stimulation. Brain Stimul. 2020;13(5):1436-45.
A complete list of Matthew Willsey's publications is available on Google Scholar.
